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# Phase Marginalisation with Parallel Bilby
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## PP-test setup
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* Smapled a set of 100 injection parameters from the bilby `4s` prior.
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* Injected into Gaussian Noise.
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* Ran PE on the same data with the following configs, with and without phase marginalisation
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```ini
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prior-file = 4s
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waveform_approximant = IMRPhenomPv2
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# sampler kwargs
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nlive = 1500
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nact = 10
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dlogz = 0.1
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n-effective=inf
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walks=100
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maxmcmc=5000
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min-eff=10
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facc =0.5
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# Suercomputer args
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nodes=1
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n-tasks-per-node=16
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```
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## PP-test results
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| | *Phase Margin = ON* | *Phase Margin = OFF* |
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| ------ | ------ | ------ |
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| PP-test |  |  |
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| Meta |  |  |
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## Histogramming the Evidence Residuals
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Below is a histogram of the evidence residuals (logZ_on - logZ_off) from the above runs.
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This demonstrates that the LogZ are relatively the same, with a slight difference, most likely due to sampling.
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## Example Corner
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The following corner plot is from an injection with SNRs of {H1: 12.89, L1: 10.48}. Note that althought the posteriors look a bit messy, this has been made with one run, rather than combining the results from multiple runs.
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